Teacher(s)
Language
French
Content
The course mainly concerns the analysis, interpretation and communication of survey results. To this end, the classic sampling methods (quotas, random, stratified, clusters, etc.) used to develop opinion polls are detailed, specifying their characteristics, their interests and limitations. The crucial elements of reliability of studies to which communicators and politicians must be attentive are highlighted. The main tools for analyzing survey data are then discussed with an emphasis on the interpretation and visualization of the results.
Course outline: methods of data collection and analysis
Part I: data collection
- Surveys: general
- Empirical sampling methods
- Probabilistic sampling methods
- Construction of a questionnaire: formulation of questions
- Margins of error: formula and characteristic curve
- Weighting, re-balancing of data
Part II: Data Analysis
Databases: matrix elements
- Principal component analysis applied to opinion polls, limitations of correlations
- Multiple correspondence analysis applied to opinion polls
- Multiple factor analysis: detection of the principal components of a survey
Course outline: methods of data collection and analysis
Part I: data collection
- Surveys: general
- Empirical sampling methods
- Probabilistic sampling methods
- Construction of a questionnaire: formulation of questions
- Margins of error: formula and characteristic curve
- Weighting, re-balancing of data
Part II: Data Analysis
Databases: matrix elements
- Principal component analysis applied to opinion polls, limitations of correlations
- Multiple correspondence analysis applied to opinion polls
- Multiple factor analysis: detection of the principal components of a survey
Teaching methods
The course takes place in the form of workshops. A survey database, possibly chosen by the audience, is analyzed throughout the course. Firstly, we criticize the way in which it was constructed, while secondly, we extract the main information using factor analysis tools and the inherent graphical representations.
Course given in person. Some videos can nevertheless be used to improve understanding or add technical developments
Course given in person. Some videos can nevertheless be used to improve understanding or add technical developments
Evaluation methods
Work on real data with final report (to improve if a second chance evaluation has to be held).
Language of the evaluation: French
Language of the evaluation: French
Online resources
See course LCOMU2810 on moodle.
Teaching materials
- vidéos et documents (exercices, codes, démonstrations sur logiciel) sur moodle/videos and documents (exercices, codes, software demonstrations) on moodle
Faculty or entity
